Electrooculography Dataset for Objective Spatial Navigation Assessment in Healthy Participants

TL;DR

This paper introduces a comprehensive EOG dataset from healthy individuals during a spatial navigation task, enabling research into eye movement patterns related to navigation and cognitive function.

Contribution

The dataset uniquely combines EOG signals with cognitive and navigational assessments, providing a valuable resource for studying eye movements in spatial navigation.

Findings

EOG signals captured during navigation tasks

Correlation between eye movements and navigation scores

Dataset includes raw and processed signals with cognitive assessments

Abstract

In the quest for understanding human executive function, eye movements represent a unique insight into how we process and comprehend our environment. Eye movements reveal patterns in how we focus, navigate, and make decisions across various contexts. The proposed dataset includes electrooculography (EOG) signals from 27 healthy subjects, capturing both vertical and horizontal eye movements. The recorded signals were obtained during the video-watching stage of the Leiden Navigation Test, designed to assess spatial navigation abilities. In addition to other data, the dataset includes scores from the Mini- Mental State Examination and the Wayfinding Questionnaire. The dataset comprises carefully curated components, including relevant information, the Mini-Mental State Examination scores, and the Wayfinding Questionnaire scores, encompassing navigation, orientation, distance estimation, spatial anxiety, as well as raw and processed EOG signals. These assessments contribute more information about the participants' cognitive function and navigational abilities. This dataset can be valuable for researchers investigating spatial navigation abilities through EOG signal analysis.